The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-08"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "7118471 (up from 7010347 yesterday: 1.54 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "406522 (up from 402741 yesterday: 0.94 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.71



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1960897 17252 0.89 110990 465 0.42 5.66
Brazil 707412 15654 2.26 37134 679 1.86 5.25
Russia 476043 8970 1.92 5963 112 1.91 1.25
United Kingdom 288834 1213 0.42 40680 55 0.14 14.08
India 265928 8442 3.28 7473 266 3.69 2.81
Spain 241717 167 0.07 27136 0 0.00 11.23
Italy 235278 280 0.12 33964 65 0.19 14.44
Peru 199696 3181 1.62 5571 106 1.94 2.79
France 191313 211 0.11 29212 54 0.19 15.27
Germany 186109 359 0.19 8695 10 0.12 4.67
Iran 173832 2043 1.19 8351 70 0.85 4.80
Turkey 171121 989 0.58 4711 19 0.40 2.75
Chile 138846 4696 3.50 2264 627 38.30 1.63
Mexico 120102 2999 2.56 14053 354 2.58 11.70
Pakistan 108317 9374 9.47 2172 170 8.49 2.01
Saudi Arabia 105283 3369 3.31 746 34 4.78 0.71
Canada 97779 601 0.62 7910 33 0.42 8.09
China 84195 4 0.00 4638 0 0.00 5.51
Qatar 70158 1368 1.99 57 3 5.56 0.08
Bangladesh 68504 2735 4.16 930 42 4.73 1.36
Belgium 59348 122 0.21 9606 11 0.11 16.19
South Africa 50879 2594 5.37 1080 82 8.22 2.12
Belarus 49453 823 1.69 276 7 2.60 0.56
Netherlands 47945 165 0.35 6035 3 0.05 12.59
Sweden 45133 403 0.90 4694 35 0.75 10.40
Ecuador 43378 258 0.60 3642 21 0.58 8.40
Colombia 40847 2698 7.07 1373 108 8.54 3.36
United Arab Emirates 39376 568 1.46 281 5 1.81 0.71
Singapore 38296 386 1.02 25 0 0.00 0.07
Egypt 35444 1365 4.01 1271 34 2.75 3.59
Portugal 34885 192 0.55 1485 6 0.41 4.26
Kuwait 32510 662 2.08 269 5 1.89 0.83
Indonesia 32033 847 2.72 1883 32 1.73 5.88
Switzerland 30972 7 0.02 1923 2 0.10 6.21
Ukraine 28077 478 1.73 805 9 1.13 2.87
Poland 27160 599 2.26 1166 9 0.78 4.29
Ireland 25207 6 0.02 1683 4 0.24 6.68
Argentina 23620 826 3.62 693 29 4.37 2.93
Philippines 22474 579 2.64 1011 8 0.80 4.50
Afghanistan 20917 575 2.83 369 12 3.36 1.76
Romania 20604 125 0.61 1339 6 0.45 6.50
Dominican Republic 20126 526 2.68 539 1 0.19 2.68
Israel 18032 169 0.95 298 0 0.00 1.65
Oman 17486 604 3.58 81 6 8.00 0.46
Japan 17060 21 0.12 920 3 0.33 5.39
Austria 16968 66 0.39 672 0 0.00 3.96
Panama 16854 429 2.61 398 5 1.27 2.36
Bahrain 15417 654 4.43 27 1 3.85 0.18
Bolivia 13949 306 2.24 475 10 2.15 3.41
Iraq 13481 1115 9.02 370 24 6.94 2.74
Armenia 13325 195 1.49 211 11 5.50 1.58
Kazakhstan 12859 165 1.30 56 0 0.00 0.44
Nigeria 12801 315 2.52 361 7 1.98 2.82
Denmark 12162 14 0.12 593 4 0.68 4.88
Serbia 11896 73 0.62 250 1 0.40 2.10
Korea, South 11852 38 0.32 274 1 0.37 2.31
Algeria 10265 111 1.09 715 8 1.13 6.97
Ghana 9910 272 2.82 48 4 9.09 0.48
Moldova 9807 107 1.10 353 12 3.52 3.60
Czechia 9697 69 0.72 328 1 0.31 3.38
Norway 8561 14 0.16 239 1 0.42 2.79
Malaysia 8329 7 0.08 117 0 0.00 1.40
Morocco 8302 78 0.95 208 0 0.00 2.51
Cameroon 8060 152 1.92 212 0 0.00 2.63
Azerbaijan 7876 323 4.28 93 5 5.68 1.18
Guatemala 7502 447 6.34 267 15 5.95 3.56
Australia 7267 2 0.03 102 0 0.00 1.40
Finland 7001 20 0.29 323 0 0.00 4.61
Honduras 6450 123 1.94 262 4 1.55 4.06
Sudan 6242 161 2.65 372 13 3.62 5.96

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 378799 702 0.19 30417 43 0.14 8.03 19471.96 1563.57 1 in 51
New Jersey 164497 333 0.20 12214 38 0.31 7.43 18519.87 1375.11 1 in 54
California 133816 3201 2.45 4657 25 0.54 3.48 3386.70 117.86 1 in 295
Illinois 128415 658 0.52 5924 20 0.34 4.61 10133.90 467.49 1 in 99
Massachusetts 103626 190 0.18 7353 37 0.51 7.10 14911.28 1058.06 1 in 67
Pennsylvania 80339 431 0.54 5953 10 0.17 7.41 6275.51 465.01 1 in 159
Texas 76463 1055 1.40 1848 7 0.38 2.42 2637.03 63.73 1 in 379
Florida 64904 966 1.51 2712 12 0.44 4.18 3021.92 126.27 1 in 331
Michigan 64413 0 0.00 5895 0 0.00 9.15 6449.78 590.28 1 in 155
Maryland 58404 431 0.74 2776 27 0.98 4.75 9660.45 459.17 1 in 104
Georgia 52497 599 1.15 2208 28 1.28 4.21 4944.42 207.96 1 in 202
Virginia 51251 572 1.13 1477 5 0.34 2.88 6004.44 173.04 1 in 167
Connecticut 44092 124 0.28 4084 13 0.32 9.26 12367.03 1145.49 1 in 81
Louisiana 43050 234 0.55 2944 8 0.27 6.84 9260.47 633.28 1 in 108
Ohio 38837 361 0.94 2406 27 1.13 6.20 3322.50 205.83 1 in 301
Indiana 37623 226 0.60 2316 13 0.56 6.16 5588.50 344.02 1 in 179
North Carolina 36517 892 2.50 1041 9 0.87 2.85 3481.76 99.26 1 in 287
Minnesota 28224 338 1.21 1208 11 0.92 4.28 5004.58 214.20 1 in 200
Colorado 28169 182 0.65 1543 16 1.05 5.48 4891.52 267.94 1 in 204
Arizona 27678 689 2.55 1053 2 0.19 3.80 3634.72 138.28 1 in 275
Tennessee 27005 512 1.93 421 3 0.72 1.56 3952.04 61.61 1 in 253
Washington 24041 312 1.31 1161 4 0.35 4.83 3157.10 152.46 1 in 317
Iowa 22007 295 1.36 617 12 1.98 2.80 6975.12 195.56 1 in 143
Wisconsin 21038 203 0.97 646 -1 -0.15 3.07 3613.27 110.95 1 in 277
Alabama 20925 425 2.07 718 26 3.76 3.43 4267.63 146.44 1 in 234
Mississippi 17768 498 2.88 837 20 2.45 4.71 5970.13 281.24 1 in 168
Nebraska 15786 122 0.78 188 1 0.53 1.19 8160.64 97.19 1 in 123
Rhode Island 15642 201 1.30 799 27 3.50 5.11 14765.50 754.23 1 in 68
Missouri 15158 135 0.90 823 8 0.98 5.43 2469.76 134.10 1 in 405
South Carolina 14800 514 3.60 557 11 2.01 3.76 2874.50 108.18 1 in 348
Utah 12322 256 2.12 124 3 2.48 1.01 3843.47 38.68 1 in 260
Kentucky 11476 189 1.67 472 2 0.43 4.11 2568.68 105.65 1 in 389
Kansas 10544 138 1.33 236 3 1.29 2.24 3619.25 81.01 1 in 276
Delaware 9972 30 0.30 398 0 0.00 3.99 10240.67 408.72 1 in 98
Nevada 9816 147 1.52 442 4 0.91 4.50 3186.85 143.50 1 in 314
Arkansas 9740 314 3.33 155 1 0.65 1.59 3227.49 51.36 1 in 310
District of Columbia 9389 57 0.61 491 2 0.41 5.23 13303.60 695.71 1 in 75
New Mexico 9062 122 1.36 400 4 1.01 4.41 4321.76 190.76 1 in 231
Oklahoma 7205 55 0.77 348 0 0.00 4.83 1820.84 87.95 1 in 549
South Dakota 5471 33 0.61 65 0 0.00 1.19 6184.30 73.47 1 in 162
New Hampshire 5079 36 0.71 286 0 0.00 5.63 3735.35 210.34 1 in 268
Puerto Rico 5046 61 1.22 142 0 0.00 2.81 1579.99 44.46 1 in 633
Oregon 4922 260 5.58 164 1 0.61 3.33 1166.98 38.88 1 in 857
Idaho 3189 50 1.59 83 0 0.00 2.60 1779.51 46.32 1 in 562
North Dakota 2880 19 0.66 72 0 0.00 2.50 3779.22 94.48 1 in 265
Maine 2588 18 0.70 99 0 0.00 3.83 1925.29 73.65 1 in 519
West Virginia 2161 17 0.79 84 0 0.00 3.89 1209.19 47.00 1 in 827
Vermont 1075 12 1.13 55 0 0.00 5.12 1722.79 88.14 1 in 580
Wyoming 960 13 1.37 17 0 0.00 1.77 1658.72 29.37 1 in 603
Hawaii 676 1 0.15 17 0 0.00 2.51 477.44 12.01 1 in 2094
Alaska 562 19 3.50 10 0 0.00 1.78 768.24 13.67 1 in 1302
Montana 548 3 0.55 18 0 0.00 3.28 512.74 16.84 1 in 1950

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2555896 378799 14.82 131384.48
New Jersey 975089 164497 16.87 109780.25
California 2431190 133816 5.50 61530.07
Illinois 1059597 128415 12.12 83618.37
Massachusetts 657269 103626 15.77 94577.84
Pennsylvania 527950 80339 15.22 41239.69
Texas 1100446 76463 6.95 37951.80
Florida 1234550 64904 5.26 57480.45
Michigan 721035 64413 8.93 72198.39
Maryland 371503 58404 15.72 61449.33
Georgia 549375 52497 9.56 51742.78
Virginia 383592 51251 13.36 44940.68
Connecticut 308071 44092 14.31 86408.47
Louisiana 442602 43050 9.73 95207.92
Ohio 476818 38837 8.15 40791.68
Indiana 309503 37623 12.16 45973.40
North Carolina 520113 36517 7.02 49590.85
Minnesota 354226 28224 7.97 62810.13
Colorado 217484 28169 12.95 37765.93
Arizona 288081 27678 9.61 37831.26
Tennessee 512763 27005 5.27 75040.24
Washington 405056 24041 5.94 53192.61
Iowa 193622 22007 11.37 61368.53
Wisconsin 354291 21038 5.94 60849.29
Alabama 259991 20925 8.05 53024.92
Mississippi 208212 17768 8.53 69960.21
Nebraska 121407 15786 13.00 62761.84
Rhode Island 179169 15642 8.73 169129.31
Missouri 241461 15158 6.28 39342.38
South Carolina 244661 14800 6.05 47518.86
Utah 242899 12322 5.07 75764.87
Kentucky 252857 11476 4.54 56597.02
Kansas 119509 10544 8.82 41021.67
Delaware 69947 9972 14.26 71831.57
Nevada 180003 9816 5.45 58439.57
Arkansas 160587 9740 6.07 53212.83
District of Columbia 55766 9389 16.84 79016.76
New Mexico 234375 9062 3.87 111775.92
Oklahoma 221803 7205 3.25 56053.73
South Dakota 57819 5471 9.46 65357.39
New Hampshire 85552 5079 5.94 62919.25
Puerto Rico 5046 5046 100.00 1579.99
Oregon 149879 4922 3.28 35535.41
Idaho 56041 3189 5.69 31271.75
North Dakota 80180 2880 3.59 105214.54
Maine 61645 2588 4.20 45859.58
West Virginia 113605 2161 1.90 63567.80
Vermont 42798 1075 2.51 68587.75
Wyoming 29974 960 3.20 51790.12
Hawaii 55147 676 1.23 38949.14
Alaska 65912 562 0.85 90099.72
Montana 51592 548 1.06 48271.95

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 88529 2554 2.97 40975 46.28 44385 3169 109 3.56 3.58
Tamil Nadu 33229 1562 4.93 17527 52.75 15413 289 17 6.25 0.87
Delhi 29943 1007 3.48 11357 37.93 17712 874 62 7.64 2.92
Gujarat 20574 477 2.37 13964 67.87 5330 1280 31 2.48 6.22
Uttar Pradesh 10947 411 3.90 6344 57.95 4320 283 8 2.91 2.59
Rajasthan 10876 277 2.61 8117 74.63 2513 246 6 2.50 2.26
Madhya Pradesh 9638 237 2.52 6536 67.81 2688 414 2 0.49 4.30
State Unassigned 8803 -386 -4.20 0 0.00 8803 0 0 NaN 0.00
West Bengal 8613 426 5.20 3465 40.23 4743 405 9 2.27 4.70
Karnataka 5760 308 5.65 2519 43.73 3175 64 3 4.92 1.11
Bihar 5247 177 3.49 2542 48.45 2674 31 1 3.33 0.59
Haryana 4854 406 9.13 1700 35.02 3115 39 11 39.29 0.80
Andhra Pradesh 4813 154 3.31 2720 56.51 2018 75 0 0.00 1.56
Jammu and Kashmir 4285 198 4.84 1324 30.90 2916 45 4 9.76 1.05
Telangana 3650 0 0.00 1742 47.73 1771 137 0 0.00 3.75
Odisha 2994 138 4.83 1993 66.57 990 11 0 0.00 0.37
Assam 2836 154 5.74 785 27.68 2044 4 0 0.00 0.14
Punjab 2663 55 2.11 2128 79.91 482 53 2 3.92 1.99
Kerala 2006 91 4.75 814 40.58 1175 17 1 6.25 0.85
Uttarakhand 1411 56 4.13 714 50.60 677 13 0 0.00 0.92
Jharkhand 1290 187 16.95 519 40.23 764 7 0 0.00 0.54
Chhattisgarh 1197 124 11.56 335 27.99 858 4 0 0.00 0.33
Tripura 840 38 4.74 192 22.86 648 0 0 NaN 0.00
Himachal Pradesh 421 10 2.43 223 52.97 189 6 0 0.00 1.43
Goa 330 30 10.00 67 20.30 263 0 0 NaN 0.00
Chandigarh 321 3 0.94 285 88.79 31 5 0 0.00 1.56
Manipur 272 100 58.14 58 21.32 214 0 0 NaN 0.00
Puducherry 128 0 0.00 53 41.41 75 0 0 NaN 0.00
Nagaland 127 9 7.63 8 6.30 119 0 0 NaN 0.00
Ladakh 103 0 0.00 50 48.54 52 1 0 0.00 0.97
Arunachal Pradesh 57 7 14.00 2 3.51 55 0 0 NaN 0.00
Mizoram 42 0 0.00 1 2.38 41 0 0 NaN 0.00
Meghalaya 39 3 8.33 13 33.33 25 1 0 0.00 2.56
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 22 2 10.00 2 9.09 20 0 0 NaN 0.00
Sikkim 7 0 0.00 0 0.00 7 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 826465 90389 194 0.22 10.94 2708 107 19319 16302 18.04
Piemonte 344924 30869 14 0.05 8.95 633 36 3866 3954 12.81
Emilia-Romagna 360962 27928 20 0.07 7.74 239 31 2282 4179 14.96
Veneto 750248 19187 4 0.02 2.56 82 1 1080 1955 10.19
Toscana 273706 10144 9 0.09 3.71 50 20 721 1074 10.59
Liguria 117410 9826 14 0.14 8.37 125 5 248 1505 15.32
Lazio 275885 7828 16 0.20 2.84 466 49 2615 763 9.75
Marche 114310 6747 2 0.03 5.90 41 2 1075 991 14.69
Campania 219033 4828 2 0.04 2.20 82 6 717 426 8.82
Puglia 133164 4512 1 0.02 3.39 94 4 698 525 11.64
P.A. Trento 95825 4436 1 0.02 4.63 7 1 81 464 10.46
Sicilia 165693 3452 1 0.03 2.08 40 7 853 278 8.05
Friuli Venezia Giulia 148030 3284 1 0.03 2.22 22 3 144 340 10.35
Abruzzo 83715 3265 0 0.00 3.90 89 4 632 418 12.80
P.A. Bolzano 72257 2604 1 0.04 3.60 7 2 97 292 11.21
Umbria 76413 1432 0 0.00 1.87 10 2 29 76 5.31
Sardegna 63510 1362 0 0.00 2.14 9 1 56 131 9.62
Valle d’Aosta 15910 1191 0 0.00 7.49 7 0 8 144 12.09
Calabria 76501 1159 0 0.00 1.52 18 0 77 97 8.37
Molise 16966 436 0 0.00 2.57 0 2 119 23 5.28
Basilicata 32720 399 0 0.00 1.22 0 0 13 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 53047 198 0.37 4984 6 0.12 9.40 6213.28 583.77 1 in 161
Ontario 32395 299 0.93 2524 22 0.88 7.79 2201.97 171.56 1 in 454
Alberta 7202 64 0.90 149 3 2.05 2.07 1631.94 33.76 1 in 613
British Columbia 2659 27 1.03 167 0 0.00 6.28 520.26 32.68 1 in 1922
Nova Scotia 1059 0 0.00 61 0 0.00 5.76 1083.42 62.41 1 in 923
Saskatchewan 654 4 0.62 13 2 18.18 1.99 553.46 11.00 1 in 1807
Manitoba 300 0 0.00 7 0 0.00 2.33 217.78 5.08 1 in 4592
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 146 9 6.57 1 0 0.00 0.68 187.18 1.28 1 in 5342
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1604 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1107 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 678 7 1.03
Jiangsu 653 0 0.00
Beijing 594 9 1.52
Sichuan 582 3 0.52
Chongqing 579 6 1.04
Fujian 359 1 0.28
Hebei 328 6 1.83
Shaanxi 311 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 235 1 0.43
Shanxi 198 0 0.00
Tianjin 193 3 1.55
Yunnan 185 2 1.08
Hainan 170 6 3.53
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5992.96 339.21 1 in 167
Brazil 3379.89 177.42 1 in 296
Russia 3294.42 41.27 1 in 304
United Kingdom 4347.29 612.28 1 in 230
India 198.60 5.58 1 in 5035
Spain 5180.39 581.57 1 in 193
Italy 3890.18 561.57 1 in 257
Peru 6207.52 173.17 1 in 161
France 2855.84 436.07 1 in 350
Germany 2247.96 105.02 1 in 445
Iran 2141.84 102.90 1 in 467
Turkey 2117.57 58.30 1 in 472
Chile 7692.30 125.43 1 in 130
Mexico 929.58 108.77 1 in 1076
Pakistan 549.83 11.03 1 in 1819
Saudi Arabia 3196.21 22.65 1 in 313
Canada 2601.20 210.43 1 in 384
China 60.75 3.35 1 in 16462
Qatar 26585.07 21.60 1 in 38
Bangladesh NA NA 1 in NA

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 207353 21877 10.55
Cook Illinois 82819 3959 4.78
Los Angeles California 64690 2656 4.11
Nassau New York 40947 2145 5.24
Suffolk New York 40377 1935 4.79
Westchester New York 34000 1395 4.10
Philadelphia Pennsylvania 23691 1421 6.00
Middlesex Massachusetts 22812 1711 7.50
Wayne Michigan 20663 2499 12.09
Miami-Dade Florida 19756 767 3.88
Suffolk Massachusetts 19028 931 4.89
Hudson New Jersey 19000 1226 6.45
Bergen New Jersey 18538 1621 8.74
Essex New Jersey 18117 1710 9.44
Prince George’s Maryland 16523 602 3.64
Passaic New Jersey 16461 975 5.92
Union New Jersey 16241 1100 6.77
Middlesex New Jersey 16227 1043 6.43
Fairfield Connecticut 16092 1316 8.18
Essex Massachusetts 15236 1006 6.60
Harris Texas 14918 262 1.76
Maricopa Arizona 14003 491 3.51
Rockland New York 13340 657 4.93
Montgomery Maryland 12818 659 5.14
Fairfax Virginia 12603 414 3.28
Dallas Texas 12347 264 2.14
Providence Rhode Island 11959 0 0.00
New Haven Connecticut 11860 1013 8.54
Worcester Massachusetts 11758 827 7.03
Hartford Connecticut 10844 1291 11.91
Orange New York 10523 465 4.42
Marion Indiana 10358 623 6.01
Hennepin Minnesota 9480 681 7.18
District of Columbia District of Columbia 9389 491 5.23
Riverside California 9206 356 3.87
Ocean New Jersey 9041 781 8.64
Milwaukee Wisconsin 8900 325 3.65
Lake Illinois 8808 345 3.92
Norfolk Massachusetts 8715 866 9.94
San Diego California 8619 296 3.43
Monmouth New Jersey 8498 640 7.53
King Washington 8496 579 6.81
Oakland Michigan 8457 1007 11.91
Plymouth Massachusetts 8372 595 7.11
DuPage Illinois 8157 406 4.98
Broward Florida 7924 343 4.33
Jefferson Louisiana 7885 462 5.86
Bristol Massachusetts 7698 473 6.14
Montgomery Pennsylvania 7610 727 9.55
Clark Nevada 7592 363 4.78

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc